Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique
By F. Hartwig, N. Davies, Gibran Hemani, George Davey Smith. International Journal of Epidemiology, 2016
737 citations recorded by the source corpus.
Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique Fernando Pires Hartwig*, Neil Martin Davies, Gibran Hemani and George Davey Smith Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Integrative Epidemiology Unit at the University of Bristol and School of Social and Community Medicine, University of Bristol, Bristol, UK
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/06e3334fbc7e1837381b5e93330d90bcc6742193
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In Genetics
- J. Bowden
- George Davey Smith
- Gibran Hemani
- Stephen Burgess
- F. Hartwig
- Philip C. Haycock
- E. Sanderson
- S. Thompson
Citations in the corpus
- Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption (2017, background): “Given the increasing number of publicly available summary statistics from large GWAS consortia, summary data MR methods enable many causal hypotheses to be rapidly interrogated without the administrative burden and cooperation required to perform equivalent individual-level data analyses.(6,7)”
- Evaluating the potential role of pleiotropy in Mendelian randomization studies (2018, background): “concomitant explosion in the use of MR across a broad range of disciplines (5).”
- The MR-Base platform supports systematic causal inference across the human phenome (2018, methodology): “To generate a summary set, for each SNP we need its effect and standard error on the exposure and the outcome corresponding to the same effect alleles ( Hartwig et al., 2016 ).”